slider {aplpack}R Documentation

slider / button control widgets

Description

slider constructs a Tcl/Tk-widget with sliders and buttons automated calculation and plotting. For example slider allows complete all axes rotation of objects in a plot.

Usage

slider(sl.functions, sl.names, sl.mins, sl.maxs, sl.deltas, sl.defaults, but.functions, but.names, no, set.no.value, obj.name, obj.value, reset.function, title, prompt=FALSE)

Arguments

sl.functions set of functions or function connected to the slider(s)
sl.names labels of the sliders
sl.mins minimum values of the sliders' ranges
sl.maxs maximum values of the sliders' ranges
sl.deltas change of step per click
sl.defaults default values for the sliders
but.functions function or list of functions that are assigned to the button(s)
but.names labels of the buttons
no slider(no=i) requests slider i
set.no.value slider(set.no.value=c(i,val)) sets slider i to value val
obj.name slider(obj.name=name) requests the value of variable name from environment slider.env
obj.value slider(obj.name=name,obj.value=value) assigns value to variable name in environment slider.env
reset.function function that induce a reset.button and contains the commands of it.
title title of the control window
prompt if TRUE slider functions are called by moving a slider, if FALSE slider functions are called after releasing the mouse button

Details

With slider you can: a) define (multiple) sliders and buttons, b) request or set slider values, and c) request or set variables in the environment slider.env. Slider function management takes place in the environment slider.env. If slider.env is not found it is generated.

Definition ... of sliders: First of all you have to define sliders, buttons and the attributes of them. Sliders are established by six arguments: sl.functions, sl.names, sl.minima, sl.maxima,sl.deltas, and sl.defaults. The first argument, sl.functions, is either a list of functions or a single function that contains the commands for the sliders. If there are three sliders and slider 2 is moved with the mouse the function stored in sl.functions[[2]] (or in case of one function for all sliders the function sl.functions) is called.

DEFINITION ... of buttons: Buttons are defined by a vector of labels but.names and a list of functions: but.functions. If button i is pressed the function stored in but.functions[[i]] is called.

REQUESTING ... a slider: slider(no=1) returns the actual value of slider 1, slider(no=2) returns the value of slider 2, etc. You are allowed to include expressions of the type slider(no=i) in functions describing the effect of sliders or buttons.

SETTING ... a slider: slider(set.no.value=c(2,333)) sets slider 2 to value 333. slider(set.no.value=c(i,value)) can be included in the functions defining the effects of moving sliders or pushing buttons.

VARIABLES ... of the environment slider.env: Sometimes information has to be trransferred back and forth between functions defining the effects of sliders and buttons. Imagine for example two sliders: one to control p and another one to control q, but they should satisfy: p+q=1. Consequently, you have to correct the value of the first slider after the second one was moved. To prevent the creation of global variables store them in the environment slider.env. Use slider(obj.name="p.save",obj.value=1-slider(no=2)) to assign value 1-slider(no=2) to the variable p.save . slider(obj.name=p.save) returns the value of variable p.save.

Value

Using slider in definition mode slider returns the value of new created the top level widget. slider(no=i) returns the actual value of slider i. slider(obj.name=name) returns the value of variable name in environment slider.env.

Author(s)

Hans Peter Wolf

Examples


# example 1, sliders only
## Not run: 
## This example cannot be run by examples() but should work in an interactive R session
plot.sample.norm<-function(){
 refresh.code<-function(...){
   mu<-slider(no=1); sd<-slider(no=2); n<-slider(no=3)
   x<-rnorm(n,mu,sd)
   plot(x)
 }
 slider(refresh.code,sl.names=c("value of mu","value of sd","n number of observations"),
       sl.mins=c(-10,.01,5),sl.maxs=c(+10,50,100),sl.deltas=c(.01,.01,1),sl.defaults=c(0,1,20))
}
plot.sample.norm()
## End(Not run)

# example 2, sliders and buttons
## Not run: 
## This example cannot be run by examples() but should work in an interactive R session
plot.sample.norm.2<-function(){
 refresh.code<-function(...){
   mu<-slider(no=1); sd<-slider(no=2); n<-slider(no=3)
   type=  slider(obj.name="type")
   x<-rnorm(n,mu,sd)
   plot(seq(x),x,ylim=c(-20,20),type=type)
 }
 slider(refresh.code,sl.names=c("value of mu","value of sd","n number of observations"),
       sl.mins=c(-10,.01,5),sl.maxs=c(10,10,100),sl.deltas=c(.01,.01,1),sl.defaults=c(0,1,20),
       but.functions=list(
              function(...){slider(obj.name="type",obj.value="l");refresh.code()},
              function(...){slider(obj.name="type",obj.value="p");refresh.code()},
              function(...){slider(obj.name="type",obj.value="b");refresh.code()}
       ),
       but.names=c("lines","points","both"))
  slider(obj.name="type",obj.value="l")
}
plot.sample.norm.2()
## End(Not run)

# example 3, dependent sliders
## Not run: 
## This example cannot be run by examples() but should work in an interactive R session
print.of.p.and.q<-function(){
 refresh.code<-function(...){
   p.old<-slider(obj.name="p.old")
   p<-slider(no=1); if(abs(p-p.old)>0.001) {slider(set.no.value=c(2,1-p))}
   q<-slider(no=2); if(abs(q-(1-p))>0.001) {slider(set.no.value=c(1,1-q))}
   slider(obj.name="p.old",obj.value=p)
   cat("p=",p,"q=",1-p,"\n")
 }
 slider(refresh.code,sl.names=c("value of p","value of q"),
       sl.mins=c(0,0),sl.maxs=c(1,1),sl.deltas=c(.01,.01),sl.defaults=c(.2,.8))
 slider(obj.name="p.old",obj.value=slider(no=1))
}
print.of.p.and.q()
## End(Not run)

# example 4, rotating a surface
## Not run: 
## This example cannot be run by examples() but should work in an interactive R session
R.veil.in.the.wind<-function(){
  # Mark Hempelmann / Peter Wolf
  par(bg="blue4", col="white", col.main="white", 
      col.sub="white", font.sub=2, fg="white") # set colors and fonts
  samp  <- function(N,D) N*(1/4+D)/(1/4+D*N) 
  z<-outer(seq(1, 800, by=10), seq(.0025, 0.2, .0025)^2/1.96^2, samp) # create 3d matrix
  h<-100 
  z[10:70,20:25]<-z[10:70,20:25]+h; z[65:70,26:45]<-z[65:70,26:45]+h
  z[64:45,43:48]<-z[64:45,43:48]+h; z[44:39,26:45]<-z[44:39,26:45]+h
  x<-26:59; y<-11:38; zz<-outer(x,y,"+"); zz<-zz*(65<zz)*(zz<73)
  cz<-10+col(zz)[zz>0];rz<-25+row(zz)[zz>0]; z[cbind(cz,rz)]<-z[cbind(cz,rz)]+h
  refresh.code<-function(...){
    theta<-slider(no=1); phi<-slider(no=2)
    persp(x=seq(1,800,by=10),y=seq(.0025,0.2,.0025),z=z,theta=theta,phi=phi, 
          scale=T, shade=.9, box=F, ltheta = 45,
          lphi = 45, col="aquamarine", border="NA",ticktype="detailed")   
  }
  slider(refresh.code, c("theta", "phi"), c(0, 0),c(360, 360),c(.2, .2),c(85, 270)  )
}
R.veil.in.the.wind()
## End(Not run)


[Package aplpack version 1.2.1 Index]